# ==============================================================================
# Copyright 2014 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# ==============================================================================

# daal4py outlier detection bacon example for shared memory systems

from pathlib import Path

import numpy as np
from readcsv import pd_read_csv

import daal4py as d4p


def main(readcsv=pd_read_csv):
    # Input file
    data_path = Path(__file__).parent / "data" / "batch"
    infile = data_path / "outlierdetection.csv"

    # Retrieve the data from the input file
    data = readcsv(infile, range(3))

    # Create an algorithm to detect outliers using the default method
    algorithm = d4p.bacon_outlier_detection()

    # Compute outliers and get the computed results
    res = algorithm.compute(data)

    # result provides weights
    assert res.weights.shape == (data.shape[0], 1)

    return (data, res)


if __name__ == "__main__":
    (data, res) = main()

    print("\nInput data\n", data)
    print("\nOutlier detection result (Bacon method) weights:\n", res.weights)
    print("All looks good!")
